SGGformer: Shifted Graph Convolutional Graph-Transformer for Traffic Prediction

Accurate traffic prediction is significant in intelligent cities’ safe and stable development. However, due to the complex spatiotemporal correlation of traffic flow data, establishing an accurate traffic prediction model is still challenging. Aiming to meet the challenge, this paper proposes SGGfor...

Descripción completa

Detalles Bibliográficos
Autores principales: Pu, Shilin, Chu, Liang, Hu, Jincheng, Li, Shibo, Li, Jihao, Sun, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698654/
https://www.ncbi.nlm.nih.gov/pubmed/36433621
http://dx.doi.org/10.3390/s22229024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698654/
https://www.ncbi.nlm.nih.gov/pubmed/36433621
http://dx.doi.org/10.3390/s22229024

Ejemplares similares